AI Visibility Scorecard
Stake Referral Code — Research & Comparison Portal
stake-referral-code.com · Technology
Borderline visible. AI bots can crawl Stake Referral Code — Research & Comparison Portal, but the structured-data signals are thin - you are at real risk of being skipped when buyers ask ChatGPT, Claude, or Perplexity for a recommendation.
AI engines read this profile 1 times
Claude
#1,075,748 of 2,706,566 in Technology for AI visibility
5
AEO Visibility
iBorderline · 4.9/10
45
Muse Index Score
iAI agent readiness
Agent-ready · 45/100
0
AI Adoption
iNone detected · 0/100
About Stake Referral Code — Research & Comparison Portal
from our crawl and measurement
Stake Referral Code Research & Comparison Portal is a business whose own site puts it this way: "The internet's most comprehensive research and comparison portal for Stake referral codes, welcome offers, referral rewards and signup incentives." To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 4.9 out of 10.
Our crawl found structured data on the page (Organization, WebSite, FAQPage), an llms.txt file for AI models and a sitemap.
AI crawlers have visited once in our tracking, including ClaudeBot (Anthropic).
The 6 signals AI reads
Strong · Good · Fair · Weak
Structured Data
Strong
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Fair
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Fair
Experience, Expertise, Authority, Trust markers.
Technical AEO
Strong
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Good
Sitemaps and entity links AI can follow.
Off-page authority
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
Domain Authority
Weak
Little domain authority yet.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Weak
No community discussion yet.
Social Mentions
Weak
No social discussion found yet.
What this score means
Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 4.9/10, Stake Referral Code — Research & Comparison Portal is crawlable but under-signaled - fixable, and the signals above are where to start.
Frequently Asked Questions
How to Use a Stake Referral Code?
Using a Stake referral code is a straightforward process completed during registration. The entire process takes approximately five minutes. Below is our verified step-by-step guide.1Choose your referral codeCompare the available Stake referral codes — BNUS, MAX2026, WIN60, DEP10 — using our comparison table.
Which Stake Referral Code Should You Use?
Our editorial team has categorised each code by user profile to help you make the right choice. These recommendations are based on verified code characteristics and publicly available information.Best OverallBNUSEditor's Choice 2026Best all-round pick for most new users.
Is this your brand?
The exact fixes for Stake Referral Code — Research & Comparison Portal
Which AI engines already crawl you
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How to Get Your Brand Cited by ChatGPT, Gemini, and Claude: The Complete AEO Guide
The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.
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Source & Attribution
Scored by Engagemii on August 11, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/stake-referral-code
Cite this score: Engagemii (2026). "AEO Score for Stake Referral Code — Research & Comparison Portal." Retrieved from https://engagemii.com/aeo/brands/stake-referral-code
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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